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Rainfrog’s Video Generator produces short-form campaign clips from the same project you use for stills. Add the node, choose a video model, connect the inputs that model expects, and generate. If you already have a strong image workflow, you are most of the way to a matching motion piece.
Searching for Video Generator on the Rainfrog canvas

How video generation works

Video uses a dedicated Video Generator node — it is not a mode on the Image Generator. Select a model on the node. The input handles update to match that model. Connect images, frames, text, or video references as shown, then click Generate. Credit cost and duration options appear on the node before you run. Video generation is available on paid plans and typically costs more credits than a still.

Video models

Use Image nodes, Video nodes, Full Body outputs, or Image Generator results as sources for those handles when the connection types match.

Adding a Video Generator

1

Open your project

Work in a project that already has strong still assets, or start fresh.
2

Add the Video Generator

From the floating dock, add a Video Generator node.
3

Choose a model

Pick Kling 2.6, Kling 3.0, or Seedance 2.0. Confirm the input handles that appear.
4

Connect inputs

Wire the frames, references, text, or media the model asks for. Keep subject and style consistent with your still campaign when you want matching motion.
5

Generate

Check duration and credit cost on the node, then click Generate. Keep working on the canvas while the job runs in the background.

Use cases

  • Reels, TikTok, and Stories — short motion that matches your brand look
  • Product teasers — a still hero frame animated into a short clip
  • Lookbook motion — subtle movement on editorial fashion frames
  • Paid social — variants for ads without rebuilding the whole campaign

Tips for better video output

  • Start from a still you already like, then animate that frame
  • Prefer environments with clear spatial structure (studio, room, defined outdoor) over highly abstract scenes
  • Use a character pose that reads clearly as a starting frame
  • Keep product and character references consistent with your image workflow
Generate a strong Image Generator result first, then connect that image into the Video Generator as the starting frame for Kling models.